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Funded Projects for Artificial Intelligence, Machine Learning, and Deep Learning

Grant Number Project Title Principal Investigator Institution
5-R01-EB035186-02 DeepTOBIDx: deep learning-enhanced multimodal diagnostic breast imaging Bin Deng Massachusetts General Hospital
1-R21-EB036619-01A1 Developing Imaging and Analysis Tools for Lymphoscintigraphy in Lymphedema Jaewon Yang Ut Southwestern Medical Center
1-R01-EB036082-01A1 Development and clinical validation of domain-aware anthropomorphic model observers for task-based image quality assessment Jovan Brankov Illinois Institute of Technology
1-R21-EB037806-01 Development and validation of diffusion-model enabled computational observers for clinical diagnostic task performance evaluation of deep learning CT algorithms Jingyan Xu Johns Hopkins University
5-R01-EB030130-04 Development of Software to Rapidly Assess Placenta Images at Birth Alison Gernand Pennsylvania State University, The
5-R21-EB033426-03 DL-based CT image formation with characterization and control of resolution and noise Jingyan Xu Johns Hopkins University
5-R21-EB033994-03 Early-Stage Clinical Trial of AI-Driven CBCT-Guided Adaptive Radiotherapy for Lung Cancer Aparna Kesarwala Emory University
5-R44-EB032722-03 Enabling Next Generation Machine Learning for Large Scale Image Analysis Gerald Sabin Rnet Technologies, Inc.
1-K08-EB037077-01 Enhancing precision medicine for brain metastases using interpretable and integrative deep learning Albert Kim Massachusetts General Hospital
1-R21-EB037440-01 Gen-AI Airway Simulator for 3D Endoscopy Roni Sengupta Univ of North Carolina Chapel Hill